Campus Quantitative Researcher (Full-Time)

Jump Trading; City Of London; On-site; GBP 60,000 - 100,000; Full time

Job summary

A leading financial technology firm in London seeks analytical minds for a role blending quant research, trading, and software development. You will undergo training in trading and programming while building predictive models and automated trading strategies. Ideal candidates come from top programs in technical fields, showing exceptional drive and skills. Strong benefits include private medical insurance and group pension schemes.

Benefits

Private Medical, Vision and Dental Insurance

Travel Medical Insurance

Group Pension Scheme

Group Life Assurance and Income Protection Schemes

Paid Parental Leave

Parking and Commuter Benefits

Qualifications

• Strong background in programming or quantitative disciplines.
• Exceptional analytical skills and drive to learn.
• No prior knowledge of finance is necessary.

Responsibilities

• Build predictive models from big data and develop algorithms.
• Contribute in roles of quant researcher, trader, and software developer.
• Complete training in trading, programming, and quant research.

Skills

Analytical skills

Programming (Python, C++)

Machine Learning

Quantitative analysis

Education

Degree in Computer Science, Mathematics, or related fields

Job description

Jump Trading is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivising collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organisations and universities to solve problems.

About the Role

We build predictive models from big data and develop algorithms to automatically execute trades in dozens of financial exchanges around the world.

At Jump you will have the opportunity to contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer – based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump.

You will start by completing a training program focused on enhancing your knowledge of trading, programming, and quant research. The training consists of in-house courses and trading simulation developed and delivered by experienced quant researchers, traders, and developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as Trading / Market Mechanics, Statistics, R, Python, C++, Machine Learning, and our research process.

You will later be coached to successfully apply those skills to build predictive models, leveraging one of the largest supercomputers in the world, and devise automated trading strategies to test in the markets against world-class competition.

May include other duties as assigned or needed.

Who should apply?

We are seeking the sharpest analytical minds from top undergraduate and graduate programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.).

No prior knowledge of finance or trading is necessary. We’ll give you the training that you’ll need. Reliable and predictable availability required.

Although we strongly value training in Computer Science and Mathematics, we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering, Statistics, Physics, Neuroscience, Materials Science, Operations Research, and more.

If you have outstanding skills in math and programming and you are curious about the challenge of improving research with daily feedback from competitive markets, we hope you’ll apply.

Benefits

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Parking and Commuter Benefits